{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "discover vulnerability", "trigger": true, "arguments": ["time", "discoverer", "capabilities", "vulnerable system owner", "supported platform", "vulnerable system version", "vulnerability", "vulnerable system"]}, {"event_type": "data breach", "trigger": true, "arguments": ["time", "victim", "purpose", "place", "attacker", "number of data", "attack pattern", "tool", "number of victim", "compromised data", "damage amount"]}, {"event_type": "ransom", "trigger": true, "arguments": ["attack pattern", "attacker", "victim", "damage amount", "tool", "place", "time", "price"]}, {"event_type": "patch vulnerability", "trigger": true, "arguments": ["vulnerable system version", "time", "patch", "vulnerability", "releaser", "common vulnerabilities and exposures", "vulnerable system"]}, {"event_type": "phishing", "trigger": true, "arguments": ["attacker", "damage amount", "trusted entity", "time", "attack pattern"]}], "input": "Up to 1.4 billion passwords may have been breached , but it ’s unclear how accurate that figure is ."}
{"discover vulnerability": [], "data breach": [{"trigger": "may have been breached", "arguments": {"time": "NAN", "victim": "NAN", "purpose": "NAN", "place": "NAN", "attacker": "NAN", "number of data": "1.4 billion", "attack pattern": "NAN", "tool": "NAN", "number of victim": "NAN", "compromised data": "passwords", "damage amount": "NAN"}}], "ransom": [], "patch vulnerability": [], "phishing": []}